Ryan-Rhys / Heteroscedastic-BO
Heteroscedastic Bayesian Optimisation in Numpy
☆21Updated last year
Related projects: ⓘ
- Various code/notebooks to benchmark different ways we could estimate uncertainty in ML predictions.☆39Updated 3 years ago
- Bayesian Optimisation for String Spaces☆23Updated 2 years ago
- Repository for paper: "SnAKe: Bayesian Optimization with Pathwise Exploration".☆15Updated 7 months ago
- Code to accompany the paper "Constrained Bayesian Optimisation for Automatic Chemical Design" https://pubs.rsc.org/en/content/articlehtml…☆49Updated last year
- (NeurIPS 2022) Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination☆16Updated 10 months ago
- Library for training Gaussian Processes on Molecules☆36Updated 2 years ago
- Bayesian optimization with conformal coverage guarantees☆26Updated last year
- ☆38Updated last year
- Fast Bayesian optimization, quadrature, inference over arbitrary domain with GPU parallel acceleration☆21Updated 2 months ago
- Comparing graph representations for molecular features prediction☆20Updated last year
- SAASBO: a package for high-dimensional bayesian optimization☆34Updated 3 years ago
- Batch Multi-Fidelity Bayesian Optimization with Deep Auto-Regressive Networks☆12Updated 2 years ago
- Python implementation for Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces.☆13Updated 2 years ago
- ☆12Updated last year
- P. Petsagkourakis, I. O. Sandoval, E. Bradford, D. Zhang, E.A. del Rio-Chanona, Reinforcement learning for batch bioprocess optimization,…☆12Updated 2 years ago
- ☆29Updated last year
- Library for Bayesian Quadrature☆30Updated 5 years ago
- Physics informed Bayesian network + autoencoder for matching process / variable / performance in solar cells.☆30Updated 3 years ago
- Implementation of methods to sample from Boltzmann distributions☆11Updated last year
- ☆27Updated 2 years ago
- Repository for Autobahn: Automorphism Based Graph Neural Networks☆30Updated 2 years ago
- ☆23Updated last year
- scalable multi-fidelity machine learning☆9Updated 3 years ago
- List of papers on robust Bayesian optimization☆17Updated 2 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆65Updated 3 years ago
- ☆40Updated 2 years ago
- Bayesian algorithm execution (BAX)☆46Updated 3 years ago
- Modelling the Multiwavelength Variability of Mrk-335 using Gaussian processes☆12Updated 2 years ago
- Library for normalizing flows and neural flows.☆23Updated 2 years ago
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆41Updated 3 years ago